Evolving Neural Networks for Word Sense Disambiguation
Antonia Azzini, Célia da Costa Pereira, Mauro Dragoni, Andrea G. B. Tettamanzi · 2008
We propose a supervised approach to word sense disambiguation based on neural networks combined with evolutionary algorithms. Large tagged datasets for every sense of a polysemous word are considered, and used to evolve an optimized neural network that correctly disambiguates the sense of the given word considering the context in which it occurs. The viability of the approach has been demonstrated through experiments carried out on a representative set of polysemous words.